A Novel Method for Anomaly Detection using Graph Signal Embedding: Application to Anomalous Sound Detection
- DOI
- 10.1016/j.eswa.2026.132278
- Published
- 2026-04
- Container
- Expert Systems with Applications
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.eswa.2026.132278,
title = {A Novel Method for Anomaly Detection using Graph Signal Embedding: Application to Anomalous Sound Detection},
author = {Zied Mnasri and Thierry Bouwmans},
year = {2026},
journal = {Expert Systems with Applications},
doi = {10.1016/j.eswa.2026.132278},
url = {https://doi.org/10.1016/j.eswa.2026.132278}
}RIS
TY - JOUR TI - A Novel Method for Anomaly Detection using Graph Signal Embedding: Application to Anomalous Sound Detection AU - Zied Mnasri AU - Thierry Bouwmans PY - 2026 JO - Expert Systems with Applications DO - 10.1016/j.eswa.2026.132278 UR - https://doi.org/10.1016/j.eswa.2026.132278 ER -
APA
Mnasri, Z., & Bouwmans, T. (2026). A Novel Method for Anomaly Detection using Graph Signal Embedding: Application to Anomalous Sound Detection. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2026.132278
Source records
- hal · retrieved 2026-11-10T13:12:34.280Z